{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  pandas 画图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.23.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "pd.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "testdataframe = pd.DataFrame(np.arange(12).reshape(4,3), columns=['A', 'B', 'C'])\n",
    "styles = ['bs-','ro-','y^-']\n",
    "linewidths = [2, 1, 4]\n",
    "fig, ax = plt.subplots()\n",
    "for col, style, lw in zip(testdataframe.columns, styles, linewidths):\n",
    "    testdataframe[col].plot(style=style, lw=lw, ax=ax, figsize=(12,7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "testdataframe1 = pd.DataFrame(np.arange(12).reshape(4,3), columns=['A', 'B', 'C'])\n",
    "testdataframe2 = pd.DataFrame(np.random.normal(size=(4,3)), columns=['D', 'E', 'F'])\n",
    "styles1 = ['bs-','ro-','y^-']\n",
    "styles2 = ['rs-','go-','b^-']\n",
    "fig, ax = plt.subplots()\n",
    "testdataframe1.plot(style=styles1, ax=ax)\n",
    "testdataframe2.plot(style=styles2, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
